Accidents in the process industries can be attributed, at least in part, to human causes. Hazard studies are commonly used in industry to identify and manage risks. This paper describes a methodology, called HumHID, which potentially improves hazard identification associated with human factors. The approach is based on cognitive work analysis (CWA) techniques, human factors/error taxonomies and the blended hazard methodology (BLHAZID). A desktop case study is used to illustrate the application of the methodology. The results show that a combination of CWA, human factors/error taxonomies and BLHAZID techniques provides a structured means of identifying hazards associated with human activity as well as showing the causality behind the hazards which can be used to guide redesign work.
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